scholarly article | Q13442814 |
P819 | ADS bibcode | 2018SciA....4.7885P |
P818 | arXiv ID | 1711.10907 |
P356 | DOI | 10.1126/SCIADV.AAP7885 |
P932 | PMC publication ID | 6059760 |
P698 | PubMed publication ID | 30050984 |
P50 | author | Alexander Tropsha | Q4720252 |
Olexandr Isayev | Q42959384 | ||
P2093 | author name string | Mariya Popova | |
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P4510 | describes a project that uses | Jupyter notebook file | Q70357595 |
P433 | issue | 7 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | deep learning | Q197536 |
deep reinforcement learning | Q65079156 | ||
P304 | page(s) | eaap7885 | |
P577 | publication date | 2018-07-01 | |
P1433 | published in | Science Advances | Q19881044 |
P1476 | title | Deep reinforcement learning for de novo drug design | |
P478 | volume | 4 |